PwC / Generative AI Clinical Lead
Designs clinical use-case writing frameworks, prompt engineering systems, and RAG pipelines for compliant medical data workflows.
sarah.lin@asterlane.online10 published pieces in the Aster Lane AI archive.
Sarah LinThe White House's latest Executive Order establishes strict new security mandates for advanced AI models, impacting how enterprises deploy frontier systems.
Sarah LinDemos are designed to impress, not to function at scale. Discover the critical criteria leaders must use to evaluate AI vendors beyond the glossy sales pitch.
Sarah LinWhen AI models inevitably produce unexpected results or fail edge cases, operations teams need a clear, actionable exception handling protocol to minimize downstream risks.
Sarah LinImplementing a structured weekly AI review process is the most effective way to align technical performance with business objectives and prevent model drift.
Sarah LinYou cannot manage what you cannot see. Learn how to design deep observability systems that monitor the 'thought process' and health of complex AI models.
Sarah LinIf the C-suite doesn't trust the metrics, the AI program will die. Learn how to establish transparent, verifiable measurement frameworks that build executive confidence.
Sarah LinHeavy documentation requirements stifle innovation. Here is how to create lightweight, effective model cards that provide clarity without overwhelming engineering.
Sarah LinBefore deploying any AI system, business owners must verify compliance, security, and performance metrics through a comprehensive launch checklist.
Sarah LinThe silent killer of AI adoption is stale data. Discover why outdated documentation causes models to hallucinate and how to enforce content freshness.
Sarah LinSlow AI is useless AI. Understand why reducing inference latency is not just a technical optimization, but a core driver of user adoption and product strategy.